#6- Multi-Class Classification & One-Hot Encoding Implementation from Scratch (Andrew Ng Coursera)
Introduction to Multi-Class Classification:- 0:00
OneVsAll Concept:- 1:02
Andrew Ng dataset Exploration:- 4:00
Random No Generation of 100 Sample:- 6:45
Concept of Visualizing Handwritten digits:- 7:55
Code of Visualizing Handwritten digits:- 10:20
Append one in X variable:- 18:30
Append one in X variable:- 18:30
Code for Minimum Cost using Scipy:- 20:45
Intuition for Minimum Cost (theory) :- 22:30
Prediction of Multi-Classification:- 31:55
Verifying Sklearn Logistic model:- 34:30
One-Hot Encoding Concept:- 35:00
Code for One-Hot Encoding:- 36:20
MultiClass Classification in logistic Regression & OneHotEncoding from Scratch in #python. It covers major concept of Multiclass classification model and OneHotEncoding intuition with implementation.(Mathematics of Machine learning)
Github:- https://github.com/akchaudhary57/Mach...